INSTRUCTION stringlengths 1 8.43k | RESPONSE stringlengths 75 104k |
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Converts the text category to a tasks. Category instance. | def parse_category(self, item, field_name, source_name):
"""
Converts the text category to a tasks.Category instance.
"""
# Get and checks for the corresponding slug
slug = category_map.get(self.get_value(item, source_name), None)
if not slug:
return None
# Load the category instance
try:
return Category.objects.get(slug=slug)
except Category.DoesNotExist:
pass |
Converts the date in the format: Thu 03. | def parse_date(self, item, field_name, source_name):
"""
Converts the date in the format: Thu 03.
As only the day is provided, tries to find the best match
based on the current date, considering that dates are on
the past.
"""
# Get the current date
now = datetime.now().date()
# Get the date from the source
val = self.get_value(item, source_name)
week_day, day = val.split()
day = int(day)
# If the current date is minor than the item date
# go back one month
if now.day < day:
if now.month == 1:
now = now.replace(month=12, year=now.year-1)
else:
now = now.replace(month=now.month-1)
# Finally, replace the source day in the current date
# and return
now = now.replace(day=day)
return now |
Parse numeric fields. | def parse_totals(self, item, field_name, source_name):
"""
Parse numeric fields.
"""
val = self.get_value(item, source_name)
try:
return int(val)
except:
return 0 |
Iterator of the list of items in the XML source. | def get_items(self):
"""
Iterator of the list of items in the XML source.
"""
# Use `iterparse`, it's more efficient, specially for big files
for event, item in ElementTree.iterparse(self.source):
if item.tag == self.item_tag_name:
yield item
# Releases the item from memory
item.clear() |
This method receives an item from the source and a source name and returns the text content for the source_name node. | def get_value(self, item, source_name):
"""
This method receives an item from the source and a source name,
and returns the text content for the `source_name` node.
"""
return force_text(smart_str(item.findtext(source_name))).strip() |
Saves an error in the error list. | def save_error(self, data, exception_info):
"""
Saves an error in the error list.
"""
# TODO: what to do with errors? Let it flow? Write to a log file?
self.errors.append({'data': data,
'exception': ''.join(format_exception(*exception_info)),
}) |
Parses all data from the source saving model instances. | def parse(self):
"""
Parses all data from the source, saving model instances.
"""
# Checks if the source is loaded
if not self.loaded:
self.load(self.source)
for item in self.get_items():
# Parse the fields from the source into a dict
data = self.parse_item(item)
# Get the instance from the DB, or a new one
instance = self.get_instance(data)
# Feed instance with data
self.feed_instance(data, instance)
# Try to save the instance or keep the error
try:
self.save_item(item, data, instance)
except Exception as e:
self.save_error(data, sys.exc_info())
# Unload the source
self.unload() |
Receives an item and returns a dictionary of field values. | def parse_item(self, item):
"""
Receives an item and returns a dictionary of field values.
"""
# Create a dictionary from values for each field
parsed_data = {}
for field_name in self.fields:
# A field-name may be mapped to another identifier on the source,
# it could be a XML path or a CSV column name / position.
# Defaults to the field-name itself.
source_name = self.field_map.get(field_name, field_name)
# Uses a custom method "parse_%(field_name)"
# or get the value from the item
parse = getattr(self, 'parse_%s' % field_name, None)
if parse:
value = parse(item, field_name, source_name)
else:
value = self.get_value(item, source_name)
# Add the value to the parsed data
parsed_data[field_name] = value
return parsed_data |
Get an item from the database or an empty one if not found. | def get_instance(self, data):
"""
Get an item from the database or an empty one if not found.
"""
# Get unique fields
unique_fields = self.unique_fields
# If there are no unique fields option, all items are new
if not unique_fields:
return self.model()
# Build the filter
filter = dict([(f, data[f]) for f in unique_fields])
# Get the instance from the DB or use a new instance
try:
instance = self.model._default_manager.get(**filter)
except self.model.DoesNotExist:
return self.model()
return instance |
Feeds a model instance using parsed data ( usually from parse_item ). | def feed_instance(self, data, instance):
"""
Feeds a model instance using parsed data (usually from `parse_item`).
"""
for prop, val in data.items():
setattr(instance, prop, val)
return instance |
Saves a model instance to the database. | def save_item(self, item, data, instance, commit=True):
"""
Saves a model instance to the database.
"""
if commit:
instance.save()
return instance |
Downloads a HTTP resource from url and save to dest. Capable of dealing with Gzip compressed content. | def download_file(url, dest):
"""
Downloads a HTTP resource from `url` and save to `dest`.
Capable of dealing with Gzip compressed content.
"""
# Create the HTTP request
request = urllib2.Request(url)
# Add the header to accept gzip encoding
request.add_header('Accept-encoding', 'gzip')
# Open the request
opener = urllib2.build_opener()
response = opener.open(request)
# Retrieve data
data = response.read()
# If the data is compressed, put the data in a stream and decompress
if response.headers.get('content-encoding', '') == 'gzip':
stream = StringIO.StringIO(data)
gzipper = gzip.GzipFile(fileobj=stream)
data = gzipper.read()
# Write to a file
f = open(dest, 'wb')
f.write(data)
f.close() |
Opens the source file. | def load(self, source):
"""
Opens the source file.
"""
self.source = open(self.source, 'rb')
self.loaded = True |
Iterator to read the rows of the CSV file. | def get_items(self):
"""
Iterator to read the rows of the CSV file.
"""
# Get the csv reader
reader = csv.reader(self.source)
# Get the headers from the first line
headers = reader.next()
# Read each line yielding a dictionary mapping
# the column headers to the row values
for row in reader:
# Skip empty rows
if not row:
continue
yield dict(zip(headers, row)) |
This method receives an item from the source and a source name and returns the text content for the source_name node. | def get_value(self, item, source_name):
"""
This method receives an item from the source and a source name,
and returns the text content for the `source_name` node.
"""
val = item.get(source_name.encode('utf-8'), None)
if val is not None:
val = convert_string(val)
return val |
Return value of variable set in the package where said variable is named in the Python meta format __<meta_name > __. | def get_package_meta(meta_name):
"""Return value of variable set in the package where said variable is
named in the Python meta format `__<meta_name>__`.
"""
regex = "__{0}__ = ['\"]([^'\"]+)['\"]".format(meta_name)
return re.search(regex, package_file).group(1) |
Raises ValueError if this sandbox instance is currently running. | def allow_network_access(self, value: bool):
"""
Raises ValueError if this sandbox instance is currently running.
"""
if self._is_running:
raise ValueError(
"Cannot change network access settings on a running sandbox")
self._allow_network_access = value |
Runs a command inside the sandbox and returns the results. | def run_command(self,
args: List[str],
max_num_processes: int=None,
max_stack_size: int=None,
max_virtual_memory: int=None,
as_root: bool=False,
stdin: FileIO=None,
timeout: int=None,
check: bool=False,
truncate_stdout: int=None,
truncate_stderr: int=None) -> 'CompletedCommand':
"""
Runs a command inside the sandbox and returns the results.
:param args: A list of strings that specify which command should
be run inside the sandbox.
:param max_num_processes: The maximum number of processes the
command is allowed to spawn.
:param max_stack_size: The maximum stack size, in bytes, allowed
for the command.
:param max_virtual_memory: The maximum amount of memory, in
bytes, allowed for the command.
:param as_root: Whether to run the command as a root user.
:param stdin: A file object to be redirected as input to the
command's stdin. If this is None, /dev/null is sent to the
command's stdin.
:param timeout: The time limit for the command.
:param check: Causes CalledProcessError to be raised if the
command exits nonzero or times out.
:param truncate_stdout: When not None, stdout from the command
will be truncated after this many bytes.
:param truncate_stderr: When not None, stderr from the command
will be truncated after this many bytes.
"""
cmd = ['docker', 'exec', '-i', self.name, 'cmd_runner.py']
if stdin is None:
cmd.append('--stdin_devnull')
if max_num_processes is not None:
cmd += ['--max_num_processes', str(max_num_processes)]
if max_stack_size is not None:
cmd += ['--max_stack_size', str(max_stack_size)]
if max_virtual_memory is not None:
cmd += ['--max_virtual_memory', str(max_virtual_memory)]
if timeout is not None:
cmd += ['--timeout', str(timeout)]
if truncate_stdout is not None:
cmd += ['--truncate_stdout', str(truncate_stdout)]
if truncate_stderr is not None:
cmd += ['--truncate_stderr', str(truncate_stderr)]
if not as_root:
cmd += ['--linux_user_id', str(self._linux_uid)]
cmd += args
if self.debug:
print('running: {}'.format(cmd), flush=True)
with tempfile.TemporaryFile() as f:
try:
subprocess.run(cmd, stdin=stdin, stdout=f, stderr=subprocess.PIPE, check=True)
f.seek(0)
json_len = int(f.readline().decode().rstrip())
results_json = json.loads(f.read(json_len).decode())
stdout_len = int(f.readline().decode().rstrip())
stdout = tempfile.NamedTemporaryFile()
stdout.write(f.read(stdout_len))
stdout.seek(0)
stderr_len = int(f.readline().decode().rstrip())
stderr = tempfile.NamedTemporaryFile()
stderr.write(f.read(stderr_len))
stderr.seek(0)
result = CompletedCommand(return_code=results_json['return_code'],
timed_out=results_json['timed_out'],
stdout=stdout,
stderr=stderr,
stdout_truncated=results_json['stdout_truncated'],
stderr_truncated=results_json['stderr_truncated'])
if (result.return_code != 0 or results_json['timed_out']) and check:
raise subprocess.CalledProcessError(
result.return_code, cmd,
output=result.stdout, stderr=result.stderr)
return result
except subprocess.CalledProcessError as e:
f.seek(0)
print(f.read())
print(e.stderr)
raise |
Copies the specified files into the working directory of this sandbox. The filenames specified can be absolute paths or relative paths to the current working directory. | def add_files(self, *filenames: str, owner: str=SANDBOX_USERNAME, read_only: bool=False):
"""
Copies the specified files into the working directory of this
sandbox.
The filenames specified can be absolute paths or relative paths
to the current working directory.
:param owner: The name of a user who should be granted ownership of
the newly added files.
Must be either autograder_sandbox.SANDBOX_USERNAME or 'root',
otherwise ValueError will be raised.
:param read_only: If true, the new files' permissions will be set to
read-only.
"""
if owner != SANDBOX_USERNAME and owner != 'root':
raise ValueError('Invalid value for parameter "owner": {}'.format(owner))
with tempfile.TemporaryFile() as f, \
tarfile.TarFile(fileobj=f, mode='w') as tar_file:
for filename in filenames:
tar_file.add(filename, arcname=os.path.basename(filename))
f.seek(0)
subprocess.check_call(
['docker', 'cp', '-',
self.name + ':' + SANDBOX_WORKING_DIR_NAME],
stdin=f)
file_basenames = [os.path.basename(filename) for filename in filenames]
if owner == SANDBOX_USERNAME:
self._chown_files(file_basenames)
if read_only:
chmod_cmd = ['chmod', '444'] + file_basenames
self.run_command(chmod_cmd, as_root=True) |
Copies the specified file into the working directory of this sandbox and renames it to new_filename. | def add_and_rename_file(self, filename: str, new_filename: str) -> None:
"""
Copies the specified file into the working directory of this
sandbox and renames it to new_filename.
"""
dest = os.path.join(
self.name + ':' + SANDBOX_WORKING_DIR_NAME,
new_filename)
subprocess.check_call(['docker', 'cp', filename, dest])
self._chown_files([new_filename]) |
Return a list of all enrollments for the passed course_id. | def get_enrollments_for_course(self, course_id, params={}):
"""
Return a list of all enrollments for the passed course_id.
https://canvas.instructure.com/doc/api/enrollments.html#method.enrollments_api.index
"""
url = COURSES_API.format(course_id) + "/enrollments"
enrollments = []
for datum in self._get_paged_resource(url, params=params):
enrollments.append(CanvasEnrollment(data=datum))
return enrollments |
Return a list of all enrollments for the passed course sis id. | def get_enrollments_for_course_by_sis_id(self, sis_course_id, params={}):
"""
Return a list of all enrollments for the passed course sis id.
"""
return self.get_enrollments_for_course(
self._sis_id(sis_course_id, sis_field="course"), params) |
Return a list of all enrollments for the passed section_id. | def get_enrollments_for_section(self, section_id, params={}):
"""
Return a list of all enrollments for the passed section_id.
https://canvas.instructure.com/doc/api/enrollments.html#method.enrollments_api.index
"""
url = SECTIONS_API.format(section_id) + "/enrollments"
enrollments = []
for datum in self._get_paged_resource(url, params=params):
enrollments.append(CanvasEnrollment(data=datum))
return enrollments |
Return a list of all enrollments for the passed section sis id. | def get_enrollments_for_section_by_sis_id(self, sis_section_id, params={}):
"""
Return a list of all enrollments for the passed section sis id.
"""
return self.get_enrollments_for_section(
self._sis_id(sis_section_id, sis_field="section"), params) |
Return a list of enrollments for the passed user regid. | def get_enrollments_for_regid(self, regid, params={},
include_courses=True):
"""
Return a list of enrollments for the passed user regid.
https://canvas.instructure.com/doc/api/enrollments.html#method.enrollments_api.index
"""
sis_user_id = self._sis_id(regid, sis_field="user")
url = USERS_API.format(sis_user_id) + "/enrollments"
courses = Courses() if include_courses else None
enrollments = []
for datum in self._get_paged_resource(url, params=params):
enrollment = CanvasEnrollment(data=datum)
if include_courses:
course_id = datum["course_id"]
course = courses.get_course(course_id)
if course.sis_course_id is not None:
enrollment.course = course
# the following 3 lines are not removed
# to be backward compatible.
enrollment.course_url = course.course_url
enrollment.course_name = course.name
enrollment.sis_course_id = course.sis_course_id
else:
enrollment.course_url = re.sub(
r'/users/\d+$', '', enrollment.html_url)
enrollments.append(enrollment)
return enrollments |
Enroll a user into a course. | def enroll_user(self, course_id, user_id, enrollment_type, params=None):
"""
Enroll a user into a course.
https://canvas.instructure.com/doc/api/enrollments.html#method.enrollments_api.create
"""
url = COURSES_API.format(course_id) + "/enrollments"
if not params:
params = {}
params["user_id"] = user_id
params["type"] = enrollment_type
data = self._post_resource(url, {"enrollment": params})
return CanvasEnrollment(data=data) |
Calculates the foundation capacity according Vesics ( 1975 ) #Gunaratne Manjriker. 2006. Spread Footings: Analysis and Design. Ref: http:// geo. cv. nctu. edu. tw/ foundation/ download/ BearingCapacityOfFoundations. pdf | def capacity_vesics_1975(sl, fd, h_l=0, h_b=0, vertical_load=1, slope=0, base_tilt=0, verbose=0, gwl=1e6, **kwargs):
"""
Calculates the foundation capacity according Vesics(1975)
#Gunaratne, Manjriker. 2006. "Spread Footings: Analysis and Design."
Ref: http://geo.cv.nctu.edu.tw/foundation/download/
BearingCapacityOfFoundations.pdf
:param sl: Soil object
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param slope: ground slope
:param base_tilt: The slope of the underside of the foundation
:param verbose: verbosity
:return: ultimate bearing stress
"""
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
area_foundation = fd.length * fd.width
c_a = 0.6 - 1.0 * sl.cohesion
horizontal_load = np.sqrt(h_l ** 2 + h_b ** 2)
fd.nq_factor = ((np.tan(np.pi / 4 + sl.phi_r / 2)) ** 2 * np.exp(np.pi * np.tan(sl.phi_r)))
if sl.phi_r == 0:
fd.nc_factor = 5.14
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
fd.ng_factor = 2.0 * (fd.nq_factor + 1) * np.tan(sl.phi_r)
# shape factors:
s_c = 1.0 + fd.nq_factor / fd.nc_factor * fd.width / fd.length
s_q = 1 + fd.width / fd.length * np.tan(sl.phi_r)
s_g = max(1.0 - 0.4 * fd.width / fd.length, 0.6) # add limit of 0.6 based on Vesic
# depth factors:
if fd.depth / fd.width > 1:
k = np.arctan(fd.depth / fd.width)
else:
k = fd.depth / fd.width
d_c = 1 + 0.4 * k
d_q = 1 + 2 * np.tan(sl.phi_r) * (1 - np.sin(sl.phi_r)) ** 2 * k
d_g = 1.0
# load inclination factors
m__b = (2.0 + fd.width / fd.length) / (1 + fd.width / fd.length)
m_l = (2.0 + fd.length / fd.width) / (1 + fd.length / fd.width)
m = np.sqrt(m__b ** 2 + m_l ** 2)
if sl.phi_r == 0:
i_q = 1.0
i_g = 1.0
else:
i_q = (1.0 - horizontal_load / (vertical_load + area_foundation *
c_a / np.tan(sl.phi_r))) ** m
i_g = (1.0 - horizontal_load / (vertical_load + area_foundation *
c_a / np.tan(sl.phi_r))) ** (m + 1)
i_c = i_q - (1 - i_q) / (fd.nq_factor - 1)
check_i_c = 1 - m * horizontal_load / (area_foundation * c_a * fd.nc_factor)
if abs(check_i_c - i_c) / i_c > 0.001:
raise DesignError
# ground slope factors:
if sl.phi_r == 0:
# g_c = slope / 5.14
g_c = i_q
else:
g_c = i_q - (1 - i_q) / (5.14 * np.tan(sl.phi_r))
g_q = (1.0 - np.tan(slope)) ** 2
g_g = g_q
# tilted base factors
if sl.phi_r == 0:
b_c = g_c
else:
b_c = 1 - 2 * base_tilt / (5.14 * np.tan(sl.phi_r))
b_q = (1.0 - base_tilt * np.tan(sl.phi_r)) ** 2
b_g = b_q
# stress at footing base:
if gwl == 0:
q_d = sl.unit_eff_weight * fd.depth
unit_weight = sl.unit_bouy_weight
elif gwl > 0 and gwl < fd.depth:
q_d = (sl.unit_dry_weight * gwl) + (sl.unit_bouy_weight * (fd.depth - gwl))
unit_weight = sl.unit_bouy_weight
elif gwl >= fd.depth and gwl <= fd.depth + fd.width:
sl.average_unit_bouy_weight = sl.unit_bouy_weight + (
((gwl - fd.depth) / fd.width) * (sl.unit_dry_weight - sl.unit_bouy_weight))
q_d = sl.unit_dry_weight * fd.depth
unit_weight = sl.average_unit_bouy_weight
elif gwl > fd.depth + fd.width:
q_d = sl.unit_dry_weight * fd.depth
unit_weight = sl.unit_dry_weight
if verbose:
log("Nc: ", fd.nc_factor)
log("N_qV: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("d_c: ", d_c)
log("d_q: ", d_q)
log("d_g: ", d_g)
log("i_c: ", i_c)
log("i_q: ", i_q)
log("i_g: ", i_g)
log("g_c: ", g_c)
log("g_q: ", g_q)
log("g_g: ", g_g)
log("b_c: ", b_c)
log("b_q: ", b_q)
log("b_g: ", b_g)
log("q_d: ", q_d)
# Capacity
fd.q_ult = (sl.cohesion * fd.nc_factor * s_c * d_c * i_c * g_c * b_c +
q_d * fd.nq_factor * s_q * d_q * i_q * g_q * b_q +
0.5 * fd.width * unit_weight *
fd.ng_factor * s_g * d_g * i_g * g_g * b_g)
if verbose:
log("qult: ", fd.q_ult)
return fd.q_ult |
Calculates the foundation capacity according Terzaghi ( 1943 ) Ref: http:// geo. cv. nctu. edu. tw/ foundation/ download/ BearingCapacityOfFoundations. pdf | def capacity_terzaghi_1943(sl, fd, round_footing=False, verbose=0, **kwargs):
"""
Calculates the foundation capacity according Terzaghi (1943)
Ref: http://geo.cv.nctu.edu.tw/foundation/
download/BearingCapacityOfFoundations.pdf
:param sl: Soil object
:param fd: Foundation object
:param round_footing: if True, then foundation is round
:param verbose: verbosity
:return: ultimate bearing stress
Note: the shape factor of 1.3 is used for aspect ratio > 6
"""
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
a02 = ((np.exp(np.pi * (0.75 - sl.phi / 360) * np.tan(sl.phi_r))) ** 2)
a0_check = (np.exp((270 - sl.phi) / 180 * np.pi * np.tan(sl.phi_r)))
if (a02 - a0_check) / a02 > 0.001:
raise DesignError
fd.nq_factor = (a02 / (2 * (np.cos((45 + sl.phi / 2) * np.pi / 180)) ** 2))
fd.ng_factor = (2 * (fd.nq_factor + 1) * np.tan(sl.phi_r) / (1 + 0.4 * np.sin(4 * sl.phi_r)))
if sl.phi_r == 0:
fd.nc_factor = 5.7
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
# shape factors:
if round_footing:
s_c = 1.3
s_g = 0.6
elif fd.length / fd.width < 5:
s_c = 1.3
s_g = 0.8
else:
s_c = 1.0
s_g = 1.0
s_q = 1.0
# stress at footing base:
q_d = sl.unit_dry_weight * fd.depth
# Capacity
fd.q_ult = (sl.cohesion * fd.nc_factor * s_c + q_d * fd.nq_factor * s_q + 0.5 * fd.width *
sl.unit_dry_weight * fd.ng_factor * s_g)
if verbose:
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("qult: ", fd.q_ult)
return fd.q_ult |
Calculates the foundation capacity according Hansen ( 1970 ) Ref: http:// bestengineeringprojects. com/ civil - projects/ hansens - bearing - capacity - theory/ | def capacity_hansen_1970(sl, fd, h_l=0, h_b=0, vertical_load=1, slope=0, base_tilt=0, verbose=0, **kwargs):
"""
Calculates the foundation capacity according Hansen (1970)
Ref: http://bestengineeringprojects.com/civil-projects/
hansens-bearing-capacity-theory/
:param sl: Soil object
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param slope: ground slope
:param base_tilt: The slope of the underside of the foundation
:param verbose: verbosity
:return: ultimate bearing stress
"""
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
area_foundation = fd.length * fd.width
horizontal_load = np.sqrt(h_l ** 2 + h_b ** 2)
c_a = 0.6 - 1.0 * sl.cohesion
fd.nq_factor = ((np.tan(np.pi / 4 + sl.phi_r / 2)) ** 2 * np.exp(np.pi * np.tan(sl.phi_r)))
if sl.phi_r == 0:
fd.nc_factor = 5.14
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
fd.ng_factor = 1.5 * (fd.nq_factor - 1) * np.tan(sl.phi_r)
# shape factors
if sl.phi_r == 0:
s_c = 0.2 * fd.width / fd.length
else:
s_c = 1.0 + fd.nq_factor / fd.nc_factor * fd.width / fd.length
s_q = 1.0 + fd.width / fd.length * np.sin(sl.phi_r)
s_g = 1.0 - 0.4 * fd.width / fd.length
# depth factors:
if fd.depth / fd.width > 1:
k = np.arctan(fd.depth / fd.width)
else:
k = fd.depth / fd.width
d_c = 1 + 0.4 * k
if sl.phi == 0:
d_c = 0.4 * k
d_q = 1 + 2 * np.tan(sl.phi_r) * (1 - np.sin(sl.phi_r)) ** 2 * k
d_g = 1.0
# incline load factors:
if sl.phi_r == 0:
i_q = 1.0
i_c = 0.5 - 0.5 * np.sqrt(1 - horizontal_load / area_foundation * c_a)
i_g = 1.0
else:
i_q = ((1.0 - 0.5 * horizontal_load /
(vertical_load + area_foundation * c_a / np.tan(sl.phi_r))) ** 5)
i_c = i_q - (1 - i_q) / (fd.nq_factor - 1)
i_g = ((1 - (0.7 * horizontal_load) /
(vertical_load + area_foundation * c_a / np.tan(sl.phi_r))) ** 5)
# slope factors:
if sl.phi_r == 0:
g_c = (slope / np.pi * 180) / 147
else:
g_c = 1.0 - (slope / np.pi * 180) / 147
g_q = 1 - 0.5 * np.tan(slope) ** 5
g_g = g_q
# base tilt factors:
if sl.phi_r == 0:
b_c = (base_tilt / np.pi * 180) / 147
else:
b_c = 1.0 - (base_tilt / np.pi * 180) / 147
b_q = (np.exp(-0.0349 * (base_tilt / np.pi * 180) * np.tan(sl.phi_r)))
b_g = (np.exp(-0.0471 * (base_tilt / np.pi * 180) * np.tan(sl.phi_r)))
if verbose:
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("d_c: ", d_c)
log("d_q: ", d_q)
log("d_g: ", d_g)
log("i_c: ", i_c)
log("i_q: ", i_q)
log("i_g: ", i_g)
log("g_c: ", g_c)
log("g_q: ", g_q)
log("g_g: ", g_g)
log("b_c: ", b_c)
log("b_q: ", b_q)
log("b_g: ", b_g)
# stress at footing base:
q_d = sl.unit_dry_weight * fd.depth
# Capacity
if sl.phi_r == 0:
fd.q_ult = (sl.cohesion * fd.nc_factor *
(1 + s_c + d_c - i_c - g_c - b_c) + q_d)
else:
fd.q_ult = (sl.cohesion * fd.nc_factor *
s_c * d_c * i_c * g_c * b_c +
q_d * fd.nq_factor * s_q * d_q * i_q * g_q * b_q +
0.5 * fd.width * sl.unit_dry_weight *
fd.ng_factor * s_g * d_g * i_g * g_g * b_g) |
Calculates the foundation capacity according Meyerhoff ( 1963 ) http:// www. engs - comp. com/ meyerhof/ index. shtml | def capacity_meyerhof_1963(sl, fd, gwl=1e6, h_l=0, h_b=0, vertical_load=1, verbose=0, **kwargs):
"""
Calculates the foundation capacity according Meyerhoff (1963)
http://www.engs-comp.com/meyerhof/index.shtml
:param sl: Soil object
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param verbose: verbosity
:return: ultimate bearing stress
"""
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
horizontal_load = np.sqrt(h_l ** 2 + h_b ** 2)
fd.nq_factor = ((np.tan(np.pi / 4 + sl.phi_r / 2)) ** 2 *
np.exp(np.pi * np.tan(sl.phi_r)))
if sl.phi_r == 0:
fd.nc_factor = 5.14
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
fd.ng_factor = (fd.nq_factor - 1) * np.tan(1.4 * sl.phi_r)
if verbose:
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
kp = (np.tan(np.pi / 4 + sl.phi_r / 2)) ** 2
# shape factors
s_c = 1 + 0.2 * kp * fd.width / fd.length
if sl.phi > 10:
s_q = 1.0 + 0.1 * kp * fd.width / fd.length
else:
s_q = 1.0
s_g = s_q
# depth factors
d_c = 1 + 0.2 * np.sqrt(kp) * fd.depth / fd.width
if sl.phi > 10:
d_q = 1 + 0.1 * np.sqrt(kp) * fd.depth / fd.width
else:
d_q = 1.0
d_g = d_q
# inclination factors:
theta_load = np.arctan(horizontal_load / vertical_load)
i_c = (1 - theta_load / (np.pi * 0.5)) ** 2
i_q = i_c
if sl.phi > 0:
i_g = (1 - theta_load / sl.phi_r) ** 2
else:
i_g = 0
# stress at footing base:
if gwl == 0:
q_d = sl.unit_bouy_weight * fd.depth
unit_weight = sl.unit_bouy_weight
elif gwl > 0 and gwl < fd.depth:
q_d = (sl.unit_dry_weight * gwl) + (sl.unit_bouy_weight * (fd.depth - gwl))
unit_weight = sl.unit_bouy_weight
elif gwl >= fd.depth and gwl <= fd.depth + fd.width:
sl.average_unit_bouy_weight = sl.unit_bouy_weight + (
((gwl - fd.depth) / fd.width) * (sl.unit_dry_weight - sl.unit_bouy_weight))
q_d = sl.unit_dry_weight * fd.depth
unit_weight = sl.average_unit_bouy_weight
elif gwl > fd.depth + fd.width:
q_d = sl.unit_dry_weight * fd.depth
unit_weight = sl.unit_dry_weight
if verbose:
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("d_c: ", d_c)
log("d_q: ", d_q)
log("d_g: ", d_g)
log("i_c: ", i_c)
log("i_q: ", i_q)
log("i_g: ", i_g)
log("q_d: ", q_d)
# Capacity
fd.q_ult = (sl.cohesion * fd.nc_factor * s_c * d_c * i_c +
q_d * fd.nq_factor * s_q * d_q * i_q +
0.5 * fd.width * unit_weight *
fd.ng_factor * s_g * d_g * i_g)
return fd.q_ult |
calculates the capacity according to Appendix B verification method 4 of the NZ building code | def capacity_nzs_vm4_2011(sl, fd, h_l=0, h_b=0, vertical_load=1, slope=0, verbose=0, **kwargs):
"""
calculates the capacity according to
Appendix B verification method 4 of the NZ building code
:param sl: Soil object
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param slope: ground slope
:param verbose: verbosity
:return: ultimate bearing stress
"""
# Need to make adjustments if sand has DR<40% or
# clay has liquidity indices greater than 0.7
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
horizontal_load = np.sqrt(h_l ** 2 + h_b ** 2)
h_eff_b = kwargs.get("h_eff_b", 0)
h_eff_l = kwargs.get("h_eff_l", 0)
loc_v_l = kwargs.get("loc_v_l", fd.length / 2)
loc_v_b = kwargs.get("loc_v_b", fd.width / 2)
ecc_b = h_b * h_eff_b / vertical_load
ecc_l = h_l * h_eff_l / vertical_load
width_eff = min(fd.width, 2 *
(loc_v_b + ecc_b), 2 * (fd.width - loc_v_b - ecc_b))
length_eff = min(fd.length, 2 *
(loc_v_l + ecc_l), 2 * (fd.length - loc_v_l - ecc_l))
area_foundation = length_eff * width_eff
# check para 3.4.1
if width_eff / 2 < fd.width / 6:
raise DesignError("failed on eccentricity")
# LOAD FACTORS:
fd.nq_factor = ((np.tan(np.pi / 4 + sl.phi_r / 2)) ** 2 * np.exp(np.pi * np.tan(sl.phi_r)))
if sl.phi_r == 0:
fd.nc_factor = 5.14
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
fd.ng_factor = 2.0 * (fd.nq_factor - 1) * np.tan(sl.phi_r)
# shape factors:
s_c = 1.0 + fd.nq_factor / fd.nc_factor * width_eff / length_eff
s_q = 1 + width_eff / length_eff * np.tan(sl.phi_r)
s_g = max(1.0 - 0.4 * width_eff / length_eff, 0.6) # add limit of 0.6 based on Vesics
# depth factors:
if fd.depth / width_eff > 1:
k = np.arctan(fd.depth / width_eff)
else:
k = fd.depth / width_eff
if sl.phi_r == 0:
d_c = 1 + 0.4 * k
d_q = 1.0
else:
d_q = (1 + 2 * np.tan(sl.phi_r) *
(1 - np.sin(sl.phi_r)) ** 2 * k)
d_c = d_q - (1 - d_q) / (fd.nq_factor * np.tan(sl.phi_r))
d_g = 1.0
# load inclination factors:
if sl.phi_r == 0:
i_c = 0.5 * (1 + np.sqrt(1 - horizontal_load / (area_foundation * sl.cohesion)))
i_q = 1.0
i_g = 1.0
else:
if h_b == 0:
i_q = 1 - horizontal_load / (vertical_load + area_foundation * sl.cohesion /
np.tan(sl.phi_r))
i_g = i_q
elif h_b > 0 and h_l == 0:
i_q = ((1 - 0.7 * horizontal_load / (vertical_load + area_foundation * sl.cohesion /
np.tan(sl.phi_r))) ** 3)
i_g = ((1 - horizontal_load / (vertical_load + area_foundation * sl.cohesion /
np.tan(sl.phi_r))) ** 3)
else:
raise DesignError("not setup for bi-directional loading")
i_c = (i_q * fd.nq_factor - 1) / (fd.nq_factor - 1)
# ground slope factors:
g_c = 1 - slope * (1.0 - fd.depth / (2 * width_eff)) / 150
g_q = (1 - np.tan(slope * (1 - fd.depth / (2 * width_eff)))) ** 2
g_g = g_q
# stress at footing base:
q_d = sl.unit_dry_weight * fd.depth
if verbose:
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("H: ", horizontal_load)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("d_c: ", d_c)
log("d_q: ", d_q)
log("d_g: ", d_g)
log("i_c: ", i_c)
log("i_q: ", i_q)
log("i_g: ", i_g)
log("g_c: ", g_c)
log("g_q: ", g_q)
log("g_g: ", g_g)
# Capacity
fd.q_ult = (sl.cohesion * fd.nc_factor * s_c * d_c * i_c * g_c +
q_d * fd.nq_factor * s_q * d_q * i_q * g_q +
0.5 * width_eff * sl.unit_dry_weight *
fd.ng_factor * s_g * d_g * i_g * g_g)
if verbose:
log("q_ult: ", fd.q_ult)
return fd.q_ult |
calculates the capacity according to THe Engineering of Foundations textbook by Salgado | def capacity_salgado_2008(sl, fd, h_l=0, h_b=0, vertical_load=1, verbose=0, **kwargs):
"""
calculates the capacity according to
THe Engineering of Foundations textbook by Salgado
ISBN: 0072500581
:param sl: Soil object
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param verbose: verbosity
:return: ultimate bearing stress
"""
# Need to make adjustments if sand has DR<40% or
# clay has liquidity indices greater than 0.7
if not kwargs.get("disable_requires", False):
models.check_required(sl, ["phi_r", "cohesion", "unit_dry_weight"])
models.check_required(fd, ["length", "width", "depth"])
h_eff_b = kwargs.get("h_eff_b", 0)
h_eff_l = kwargs.get("h_eff_l", 0)
loc_v_l = kwargs.get("loc_v_l", fd.length / 2)
loc_v_b = kwargs.get("loc_v_b", fd.width / 2)
ecc_b = h_b * h_eff_b / vertical_load
ecc_l = h_l * h_eff_l / vertical_load
width_eff = min(fd.width, 2 * (loc_v_b + ecc_b), 2 * (fd.width - loc_v_b - ecc_b))
length_eff = min(fd.length, 2 * (loc_v_l + ecc_l), 2 * (fd.length - loc_v_l - ecc_l))
# check para 3.4.1
if width_eff / 2 < fd.width / 6:
DesignError("failed on eccentricity")
# LOAD FACTORS:
fd.nq_factor = np.exp(np.pi * np.tan(sl.phi_r)) * (1 + np.sin(sl.phi_r)) / (1 - np.sin(sl.phi_r))
fd.ng_factor = 1.5 * (fd.nq_factor - 1) * np.tan(sl.phi_r)
# fd.ng_factor = (fd.nq_factor - 1) * np.tan(1.32 * sl.phi_r)
if sl.phi_r == 0:
fd.nc_factor = 5.14
else:
fd.nc_factor = (fd.nq_factor - 1) / np.tan(sl.phi_r)
# shape factors:
s_q = 1 + (width_eff / length_eff) * np.tan(sl.phi_r)
s_g = max(1 - 0.4 * width_eff / length_eff, 0.6)
s_c = 1.0
# depth factors:
d_q = 1 + 2 * np.tan(sl.phi_r) * (1 - np.sin(sl.phi_r)) ** 2 * fd.depth / width_eff
d_g = 1.0
d_c = 1.0
# stress at footing base:
q_d = sl.unit_dry_weight * fd.depth
if verbose:
log("width_eff: ", width_eff)
log("length_eff: ", length_eff)
log("Nc: ", fd.nc_factor)
log("Nq: ", fd.nq_factor)
log("Ng: ", fd.ng_factor)
log("s_c: ", s_c)
log("s_q: ", s_q)
log("s_g: ", s_g)
log("d_c: ", d_c)
log("d_q: ", d_q)
log("d_g: ", d_g)
log("q_d: ", q_d)
# Capacity
fd.q_ult = (sl.cohesion * fd.nc_factor * s_c * d_c +
q_d * fd.nq_factor * s_q * d_q +
0.5 * width_eff * sl.unit_dry_weight *
fd.ng_factor * s_g * d_g)
if verbose:
log("qult: ", fd.q_ult)
return fd.q_ult |
Determine the size of a footing given an aspect ratio and a load: param sl: Soil object: param vertical_load: The applied load to the foundation: param fos: The target factor of safety: param length_to_width: The desired length to width ratio of the foundation: param verbose: verbosity: return: a Foundation object | def size_footing_for_capacity(sl, vertical_load, fos=1.0, length_to_width=1.0, verbose=0, **kwargs):
"""
Determine the size of a footing given an aspect ratio and a load
:param sl: Soil object
:param vertical_load: The applied load to the foundation
:param fos: The target factor of safety
:param length_to_width: The desired length to width ratio of the foundation
:param verbose: verbosity
:return: a Foundation object
"""
method = kwargs.get("method", 'vesics')
depth_to_width = kwargs.get("depth_to_width", 0)
depth = kwargs.get("depth", 0)
use_depth_to_width = 0
if not depth:
use_depth_to_width = 1
# Find approximate size
fd = models.FoundationRaft()
fd.width = .5 # start with B=1.0m
for i in range(50):
fd.length = length_to_width * fd.width
if use_depth_to_width:
fd.depth = depth_to_width * fd.width
capacity_method_selector(sl, fd, method)
q = fd.q_ult
bearing_capacity = q * fd.length * fd.width
fs_actual = bearing_capacity / vertical_load
if fs_actual < fos:
# Need to increase foundation sizes
fd.width += 0.5
else:
if verbose:
log("fs_actual: ", fs_actual)
log("fd.width: ", fd.width)
break
# at this stage the current size should be too big
width_array = []
fs_array = []
for j in range(11):
width_array.append(fd.width)
fd.length = length_to_width * fd.width
if use_depth_to_width:
fd.depth = depth_to_width * fd.width
capacity_method_selector(sl, fd, method)
q = fd.q_ult
capacity = q * fd.length * fd.width
fs_array.append(capacity / vertical_load)
fd.width = fd.width - 0.5 / 10
# search the array until FS satisfied:
if verbose:
log("reqFS: ", fos)
log("width array: \n", width_array)
log("FS array: \n", fs_array)
for fs in range(len(fs_array)):
if fs_array[fs] < fos:
fd.width = width_array[fs - 1]
fd.length = length_to_width * fd.width
if use_depth_to_width:
fd.depth = depth_to_width * fd.width
capacity_method_selector(sl, fd, method)
break
if fs == len(fs_array) - 1:
DesignError("No suitable foundation sizes could be determined!")
return fd |
Calculates the bearing capacity of a foundation on soil using the specified method.: param sl: Soil Object: param fd: Foundation Object: param method: Method: param kwargs:: return: | def capacity_method_selector(sl, fd, method, **kwargs):
"""
Calculates the bearing capacity of a foundation on soil using the specified method.
:param sl: Soil Object
:param fd: Foundation Object
:param method: Method
:param kwargs:
:return:
"""
if method == 'vesics':
capacity_vesics_1975(sl, fd, **kwargs)
elif method == 'nzs':
capacity_nzs_vm4_2011(sl, fd, **kwargs)
elif method == 'terzaghi':
capacity_terzaghi_1943(sl, fd, **kwargs)
elif method == 'hansen':
capacity_hansen_1970(sl, fd, **kwargs)
elif method == 'meyerhoff':
capacity_meyerhof_1963(sl, fd, **kwargs)
elif method == 'salgado':
capacity_salgado_2008(sl, fd, **kwargs) |
Calculates the two - layered foundation capacity according Meyerhof and Hanna ( 1978 ) | def deprecated_capacity_meyerhof_and_hanna_1978(sl_0, sl_1, h0, fd, verbose=0):
"""
Calculates the two-layered foundation capacity according Meyerhof and Hanna (1978)
:param sl_0: Top Soil object
:param sl_1: Base Soil object
:param h0: Height of top soil layer
:param fd: Foundation object
:param h_l: Horizontal load parallel to length
:param h_b: Horizontal load parallel to width
:param vertical_load: Vertical load
:param verbose: verbosity
:return: ultimate bearing stress
"""
# UNFINISHED, this code is copied from the Meyerhoff method
# horizontal_load = np.sqrt(h_l ** 2 + h_b ** 2)
sl_0.nq_factor_0 = (
(np.tan(np.pi / 4 + np.deg2rad(sl_0.phi / 2))) ** 2 * np.exp(np.pi * np.tan(np.deg2rad(sl_0.phi))))
if sl_0.phi == 0:
sl_0.nc_factor_0 = 5.14
else:
sl_0.nc_factor_0 = (sl_0.nq_factor_0 - 1) / np.tan(np.deg2rad(sl_0.phi))
sl_0.ng_factor_0 = (sl_0.nq_factor_0 - 1) * np.tan(1.4 * np.deg2rad(sl_0.phi))
sl_1.nq_factor_1 = (
(np.tan(np.pi / 4 + np.deg2rad(sl_1.phi / 2))) ** 2 * np.exp(np.pi * np.tan(np.deg2rad(sl_1.phi))))
if sl_1.phi == 0:
sl_1.nc_factor_1 = 5.14
else:
sl_1.nc_factor_1 = (sl_1.nq_factor_1 - 1) / np.tan(np.deg2rad(sl_1.phi))
sl_1.ng_factor_1 = (sl_1.nq_factor_1 - 1) * np.tan(1.4 * np.deg2rad(sl_1.phi))
if verbose:
log("Nc: ", sl_1.nc_factor_1)
log("Nq: ", sl_1.nq_factor_1)
log("Ng: ", sl_1.ng_factor_1)
sl_0.kp_0 = (np.tan(np.pi / 4 + np.deg2rad(sl_0.phi / 2))) ** 2
sl_1.kp_1 = (np.tan(np.pi / 4 + np.deg2rad(sl_1.phi / 2))) ** 2
# shape factors
# s_c = 1 + 0.2 * kp * fd.width / fd.length
if sl_0.phi >= 10:
sl_0.s_c_0 = 1 + 0.2 * sl_0.kp_0 * (fd.width / fd.length)
sl_0.s_q_0 = 1.0 + 0.1 * sl_0.kp_0 * (fd.width / fd.length)
else:
sl_0.s_c_0 = 1 + 0.2 * (fd.width / fd.length)
sl_0.s_q_0 = 1.0
sl_0.s_g_0 = sl_0.s_q_0
if sl_1.phi >= 10:
sl_1.s_c_1 = 1 + 0.2 * sl_1.kp_1 * (fd.width / fd.length)
sl_1.s_q_1 = 1.0 + 0.1 * sl_1.kp_1 * (fd.width / fd.length)
else:
sl_1.s_c_1 = 1 + 0.2 * (fd.width / fd.length)
sl_1.s_q_1 = 1.0
sl_1.s_g_1 = sl_1.s_q_1
"""
# depth factors
d_c = 1 + 0.2 * np.sqrt(kp) * fd.depth / fd.width
if sl_0.phi > 10:
d_q = 1 + 0.1 * np.sqrt(kp) * fd.depth / fd.width
else:
d_q = 1.0
d_g = d_q
# inclination factors:
theta_load = np.arctan(horizontal_load / vertical_load)
i_c = (1 - theta_load / (np.pi * 0.5)) ** 2
i_q = i_c
if sl_0.phi > 0:
i_g = (1 - theta_load / sl_0.phi_r) ** 2
else:
i_g = 0
"""
# stress at footing base:
# q_d = sl_0.unit_dry_weight_0 * fd.depth
# ks
sl_0.q_0 = (sl_0.cohesion * sl_0.nc_factor_0) + (0.5 * sl_0.unit_dry_weight * fd.width * sl_0.ng_factor_0)
sl_1.q_1 = (sl_1.cohesion * sl_1.nc_factor_1) + (0.5 * sl_1.unit_dry_weight * fd.width * sl_1.ng_factor_1)
q1_q0 = sl_1.q_1 / sl_0.q_0
x_0 = np.array([0, 20.08, 22.42, 25.08, 27.58, 30.08, 32.58, 34.92, 37.83, 40.00, 42.67, 45.00, 47.00, 49.75])
y_0 = np.array([0.93, 0.93, 0.93, 0.93, 1.01, 1.17, 1.32, 1.56, 1.87, 2.26, 2.72, 3.35, 3.81, 4.82])
x_2 = np.array([0, 20.08, 22.50, 25.08, 27.58, 30.08, 32.50, 35.00, 37.67, 40.17, 42.67, 45.00, 47.50, 50.00])
y_2 = np.array([1.55, 1.55, 1.71, 1.86, 2.10, 2.33, 2.72, 3.11, 3.81, 4.43, 5.28, 6.14, 7.46, 9.24])
x_4 = np.array([0, 20.00, 22.51, 25.10, 27.69, 30.11, 32.45, 35.04, 37.88, 40.14, 42.65, 45.07, 47.33, 50.08])
y_4 = np.array([2.49, 2.49, 2.64, 2.87, 3.34, 3.81, 4.43, 5.20, 6.29, 7.38, 9.01, 11.11, 14.29, 19.34])
x_10 = np.array([0, 20.00, 22.50, 25.08, 28.00, 30.00, 32.50, 34.92, 37.50, 40.17, 42.42, 45.00, 47.17, 50.08])
y_10 = np.array([3.27, 3.27, 3.74, 4.44, 5.37, 6.07, 7.16, 8.33, 10.04, 12.30, 15.95, 21.17, 27.47, 40.00])
x_int = sl_0.phi
if sl_0.phi < 1:
fd.ks = 0
else:
if q1_q0 == 0:
fd.ks = np.interp(x_int, x_0, y_0)
elif q1_q0 == 0.2:
fd.ks = np.interp(x_int, x_2, y_2)
elif q1_q0 == 0.4:
fd.ks = np.interp(x_int, x_4, y_4)
elif q1_q0 == 1.0:
fd.ks = np.interp(x_int, x_10, y_10)
elif 0 < q1_q0 < 0.2:
ks_1 = np.interp(x_int, x_0, y_0)
ks_2 = np.interp(x_int, x_2, y_2)
fd.ks = (((ks_2 - ks_1) * q1_q0) / 0.2) + ks_1
elif 0.2 < q1_q0 < 0.4:
ks_1 = np.interp(x_int, x_2, y_2)
ks_2 = np.interp(x_int, x_4, y_4)
fd.ks = (((ks_2 - ks_1) * (q1_q0 - 0.2)) / 0.2) + ks_1
elif 0.4 < q1_q0 < 1.0:
ks_1 = np.interp(x_int, x_4, y_4)
ks_2 = np.interp(x_int, x_10, y_10)
fd.ks = (((ks_2 - ks_1) * (q1_q0 - 0.4)) / 0.6) + ks_1
else:
raise DesignError("Cannot compute 'ks', bearing ratio out-of-range (q1_q0 = %.3f) required: 0-1." % q1_q0)
# ca
if sl_0.cohesion == 0:
c1_c0 = 0
else:
c1_c0 = sl_1.cohesion / sl_0.cohesion
x = np.array([0.000, 0.082, 0.206, 0.298, 0.404, 0.509, 0.598, 0.685, 0.772])
y = np.array([0.627, 0.700, 0.794, 0.855, 0.912, 0.948, 0.968, 0.983, 0.997])
ca_c0 = np.interp(c1_c0, x, y)
fd.ca = ca_c0 * sl_0.cohesion
# Capacity
a = 1 # ????
s = 1 # ????
r = 1 + (fd.width / fd.length)
q_b1 = (sl_1.cohesion * sl_1.nc_factor_1 * sl_1.s_c_1)
q_b2 = (sl_0.unit_dry_weight * h0 * sl_1.nq_factor_1 * sl_1.s_q_1)
q_b3 = (sl_1.unit_dry_weight * fd.width * sl_1.ng_factor_1 * sl_1.s_g_1 / 2)
fd.q_b = q_b1 + q_b2 + q_b3
fd.q_ult4 = (r * (2 * fd.ca * (h0 - fd.depth) / fd.width) * a)
fd.q_ult5 = r * (sl_0.unit_dry_weight * ((h0 - fd.depth) ** 2)) * (1 + (2 * fd.depth / (h0 - fd.depth))) * (
fd.ks * np.tan(np.deg2rad(sl_0.phi)) / fd.width) * s
fd.q_ult6 = (sl_0.unit_dry_weight * (h0 - fd.depth))
fd.q_ult = fd.q_b + fd.q_ult4 + fd.q_ult5 - fd.q_ult6
# maximum value (qu <= qt)
q_t1 = (sl_0.cohesion * sl_0.nc_factor_0 * sl_0.s_c_0)
q_t2 = (sl_0.unit_dry_weight * fd.depth * sl_0.nq_factor_0 * sl_0.s_q_0)
q_t3 = (sl_0.unit_dry_weight * fd.width * sl_0.ng_factor_0 * sl_0.s_g_0 / 2)
fd.q_t = q_t1 + q_t2 + q_t3
if fd.q_ult > fd.q_t:
fd.q_ult = fd.q_t
return fd.q_ult |
Calculates the two - layered foundation capacity according Meyerhof and Hanna ( 1978 ) | def capacity_meyerhof_and_hanna_1978(sl_0, sl_1, h0, fd, gwl=1e6, verbose=0):
"""
Calculates the two-layered foundation capacity according Meyerhof and Hanna (1978)
:param sl_0: Top Soil object
:param sl_1: Base Soil object
:param h0: Height of top soil layer
:param fd: Foundation object
:param wtl: water table level
:param verbose: verbosity
:return: ultimate bearing stress
"""
sp = sm.SoilProfile()
sp.add_layer(0, sl_0)
sp.add_layer(h0, sl_1)
sp.gwl = gwl
return capacity_sp_meyerhof_and_hanna_1978(sp, fd) |
Calculates the two - layered foundation capacity according Meyerhof and Hanna ( 1978 ) | def capacity_sp_meyerhof_and_hanna_1978(sp, fd, verbose=0):
"""
Calculates the two-layered foundation capacity according Meyerhof and Hanna (1978)
:param sp: Soil profile object
:param fd: Foundation object
:param wtl: water table level
:param verbose: verbosity
:return: ultimate bearing stress
"""
assert isinstance(sp, sm.SoilProfile)
sl_0 = sp.layer(1)
sl_1 = sp.layer(2)
h0 = sp.layer_depth(2)
gwl = sp.gwl
sl_0.nq_factor_0 = (
(np.tan(np.pi / 4 + np.deg2rad(sl_0.phi / 2))) ** 2 * np.exp(np.pi * np.tan(np.deg2rad(sl_0.phi))))
if sl_0.phi == 0:
sl_0.nc_factor_0 = 5.14
else:
sl_0.nc_factor_0 = (sl_0.nq_factor_0 - 1) / np.tan(np.deg2rad(sl_0.phi))
sl_0.ng_factor_0 = (sl_0.nq_factor_0 - 1) * np.tan(1.4 * np.deg2rad(sl_0.phi))
sl_1.nq_factor_1 = (
(np.tan(np.pi / 4 + np.deg2rad(sl_1.phi / 2))) ** 2 * np.exp(np.pi * np.tan(np.deg2rad(sl_1.phi))))
if sl_1.phi == 0:
sl_1.nc_factor_1 = 5.14
else:
sl_1.nc_factor_1 = (sl_1.nq_factor_1 - 1) / np.tan(np.deg2rad(sl_1.phi))
sl_1.ng_factor_1 = (sl_1.nq_factor_1 - 1) * np.tan(1.4 * np.deg2rad(sl_1.phi))
if verbose:
log("Nc: ", sl_1.nc_factor_1)
log("Nq: ", sl_1.nq_factor_1)
log("Ng: ", sl_1.ng_factor_1)
sl_0.kp_0 = (np.tan(np.pi / 4 + np.deg2rad(sl_0.phi / 2))) ** 2
sl_1.kp_1 = (np.tan(np.pi / 4 + np.deg2rad(sl_1.phi / 2))) ** 2
# shape factors
if sl_0.phi >= 10:
sl_0.s_c_0 = 1 + 0.2 * sl_0.kp_0 * (fd.width / fd.length)
sl_0.s_q_0 = 1.0 + 0.1 * sl_0.kp_0 * (fd.width / fd.length)
else:
sl_0.s_c_0 = 1 + 0.2 * (fd.width / fd.length)
sl_0.s_q_0 = 1.0
sl_0.s_g_0 = sl_0.s_q_0
if sl_1.phi >= 10:
sl_1.s_c_1 = 1 + 0.2 * sl_1.kp_1 * (fd.width / fd.length)
sl_1.s_q_1 = 1.0 + 0.1 * sl_1.kp_1 * (fd.width / fd.length)
else:
sl_1.s_c_1 = 1 + 0.2 * (fd.width / fd.length)
sl_1.s_q_1 = 1.0
sl_1.s_g_1 = sl_1.s_q_1
# Note: this method explicitly accounts for the foundation depth, so there are no depth factors
# TODO: inclination factors, see doi.org/10.1139/t78-060
# Capacity
a = 1 # assumed to be one but can range between 1.1 and 1.27 for square footings according to Das (1999) Ch 4
s = 1
r = 1 + (fd.width / fd.length)
# put the same things before that condition
# effective weight not in the soil object
if gwl == 0: # case 1: GWL at surface
q_at_interface = sl_0.unit_bouy_weight * h0
unit_eff_weight_0_at_fd_depth = sl_0.unit_bouy_weight
unit_eff_weight_0_at_interface = sl_0.unit_bouy_weight
unit_eff_weight_1_below_foundation = sl_1.unit_bouy_weight
elif 0 < gwl <= fd.depth: # Case 2: GWL at between foundation depth and surface
q_at_interface = (sl_0.unit_dry_weight * gwl) + (sl_0.unit_bouy_weight * (h0 - gwl))
q_d = (sl_0.unit_dry_weight * gwl) + (sl_0.unit_bouy_weight * (fd.depth - gwl))
unit_eff_weight_0_at_fd_depth = q_d / fd.depth
unit_eff_weight_0_at_interface = sl_0.unit_bouy_weight
unit_eff_weight_1_below_foundation = sl_1.unit_bouy_weight
elif fd.depth < gwl <= fd.width + fd.depth:
if gwl < h0: # Case 3: GWL at between foundation depth and foundation depth plus width, and GWL < layer 1 depth
average_unit_bouy_weight = sl_0.unit_bouy_weight + (
((gwl - fd.depth) / fd.width) * (sl_0.unit_dry_weight - sl_0.unit_bouy_weight))
q_at_interface = (sl_0.unit_dry_weight * gwl) + (sl_0.unit_bouy_weight * (h0 - gwl))
unit_eff_weight_0_at_fd_depth = sl_0.unit_dry_weight
unit_eff_weight_0_at_interface = average_unit_bouy_weight
unit_eff_weight_1_below_foundation = sl_1.unit_bouy_weight
else: # Case 4: GWL at between foundation depth and foundation depth plus width, and GWL > layer 1 depth
average_unit_bouy_weight = sl_1.unit_bouy_weight + (
((gwl - h0) / fd.width) * (sl_1.unit_dry_weight - sl_1.unit_bouy_weight))
q_at_interface = sl_0.unit_dry_weight * h0
unit_eff_weight_0_at_fd_depth = sl_0.unit_dry_weight
unit_eff_weight_0_at_interface = sl_0.unit_dry_weight
unit_eff_weight_1_below_foundation = average_unit_bouy_weight
elif gwl > fd.depth + fd.width: # Case 5: GWL beyond foundation depth plus width
q_at_interface = sl_0.unit_dry_weight * h0
unit_eff_weight_0_at_fd_depth = sl_0.unit_dry_weight
unit_eff_weight_0_at_interface = sl_0.unit_dry_weight
unit_eff_weight_1_below_foundation = sl_1.unit_dry_weight
else:
raise ValueError("Could not interpret inputs") # never reached
# maximum value (qu <= qt)
q_ult6 = q_at_interface - unit_eff_weight_0_at_fd_depth * fd.depth
q_0 = (sl_0.cohesion * sl_0.nc_factor_0) + (0.5 * unit_eff_weight_0_at_interface * fd.width * sl_0.ng_factor_0)
q_b2 = (q_at_interface * sl_1.nq_factor_1 * sl_1.s_q_1)
q_1 = (sl_1.cohesion * sl_1.nc_factor_1) + (0.5 * unit_eff_weight_1_below_foundation * fd.width * sl_1.ng_factor_1)
q_b3 = (unit_eff_weight_1_below_foundation * fd.width * sl_1.ng_factor_1 * sl_1.s_g_1 / 2)
q_ult5 = r * (unit_eff_weight_0_at_interface * ((h0 - fd.depth) ** 2)) * (1 + (2 * fd.depth / (h0 - fd.depth))) * (
np.tan(np.deg2rad(sl_0.phi)) / fd.width) * s
q_t2 = (unit_eff_weight_0_at_fd_depth * fd.depth * sl_0.nq_factor_0 * sl_0.s_q_0)
q_t3 = (unit_eff_weight_0_at_interface * fd.width * sl_0.ng_factor_0 * sl_0.s_g_0 / 2)
# qb
q_b1 = (sl_1.cohesion * sl_1.nc_factor_1 * sl_1.s_c_1)
q_b = q_b1 + q_b2 + q_b3
q1_q0 = q_1 / q_0
# calculate the ca factor
# if sl_0.cohesion == 0:
# c1_c0 = 0
# else:
# c1_c0 = sl_1.cohesion / sl_0.cohesion
x = np.array([0.000, 0.082, 0.206, 0.298, 0.404, 0.509, 0.598, 0.685, 0.772])
y = np.array([0.627, 0.700, 0.794, 0.855, 0.912, 0.948, 0.968, 0.983, 0.997])
# raise Warning("ca should be interpolated using q1/q2 not cohesion, see Figure 4 in MH1978")
ca_c0 = np.interp(q1_q0, x, y)
ca = ca_c0 * sl_0.cohesion
# ks
x_0 = np.array([0, 20.08, 22.42, 25.08, 27.58, 30.08, 32.58, 34.92, 37.83, 40.00, 42.67, 45.00, 47.00, 49.75])
y_0 = np.array([0.93, 0.93, 0.93, 0.93, 1.01, 1.17, 1.32, 1.56, 1.87, 2.26, 2.72, 3.35, 3.81, 4.82])
x_2 = np.array([0, 20.08, 22.50, 25.08, 27.58, 30.08, 32.50, 35.00, 37.67, 40.17, 42.67, 45.00, 47.50, 50.00])
y_2 = np.array([1.55, 1.55, 1.71, 1.86, 2.10, 2.33, 2.72, 3.11, 3.81, 4.43, 5.28, 6.14, 7.46, 9.24])
x_4 = np.array([0, 20.00, 22.51, 25.10, 27.69, 30.11, 32.45, 35.04, 37.88, 40.14, 42.65, 45.07, 47.33, 50.08])
y_4 = np.array([2.49, 2.49, 2.64, 2.87, 3.34, 3.81, 4.43, 5.20, 6.29, 7.38, 9.01, 11.11, 14.29, 19.34])
x_10 = np.array([0, 20.00, 22.50, 25.08, 28.00, 30.00, 32.50, 34.92, 37.50, 40.17, 42.42, 45.00, 47.17, 50.08])
y_10 = np.array([3.27, 3.27, 3.74, 4.44, 5.37, 6.07, 7.16, 8.33, 10.04, 12.30, 15.95, 21.17, 27.47, 40.00])
x_int = sl_0.phi
if sl_0.phi < 1:
fd.ks = 0
else:
if q1_q0 == 0:
fd.ks = np.interp(x_int, x_0, y_0)
elif q1_q0 == 0.2:
fd.ks = np.interp(x_int, x_2, y_2)
elif q1_q0 == 0.4:
fd.ks = np.interp(x_int, x_4, y_4)
elif q1_q0 == 1.0:
fd.ks = np.interp(x_int, x_10, y_10)
elif 0 < q1_q0 < 0.2:
ks_1 = np.interp(x_int, x_0, y_0)
ks_2 = np.interp(x_int, x_2, y_2)
fd.ks = (((ks_2 - ks_1) * q1_q0) / 0.2) + ks_1
elif 0.2 < q1_q0 < 0.4:
ks_1 = np.interp(x_int, x_2, y_2)
ks_2 = np.interp(x_int, x_4, y_4)
fd.ks = (((ks_2 - ks_1) * (q1_q0 - 0.2)) / 0.2) + ks_1
elif 0.4 < q1_q0 < 1.0:
ks_1 = np.interp(x_int, x_4, y_4)
ks_2 = np.interp(x_int, x_10, y_10)
fd.ks = (((ks_2 - ks_1) * (q1_q0 - 0.4)) / 0.6) + ks_1
else:
raise DesignError(
"Cannot compute 'ks', bearing ratio out-of-range (q1_q0 = %.3f) required: 0-1." % q1_q0)
# qu
q_ult4 = (r * (2 * ca * (h0 - fd.depth) / fd.width) * a)
q_ult5_ks = q_ult5 * fd.ks
q_ult = q_b + q_ult4 + q_ult5_ks - q_ult6
q_t1 = (sl_0.cohesion * sl_0.nc_factor_0 * sl_0.s_c_0)
q_t = q_t1 + q_t2 + q_t3
if q_ult > q_t:
if h0 > fd.width/2:
fd.q_ult = q_t
else:
vert_eff_stress_interface = sp.vertical_effective_stress(h0)
vert_eff_stress_lowest = sp.vertical_effective_stress(fd.width+fd.depth)
average_eff_stress = (vert_eff_stress_interface + vert_eff_stress_lowest) / 2
c_2_eff = sl_1.cohesion + average_eff_stress * np.tan(np.radians(sl_1.phi))
if sl_0.cohesion > c_2_eff:
fd.q_ult = q_t
else:
# vd = {}
# vd[1] =[1, 1, 1, 1, 1]
# vd[0.667] = [1, 1.033, 1.064, 1.088, 1.109]
# vd[0.5] = [1, 1.056, 1.107, 1.152, 1.193]
# vd[0.333] = [1, 1.088, 1.167, 1.241, 1.311]
# vd[0.25] = [1, 1.107, 1.208, 1.302, 1.389]
# vd[0.2] = [1, 1.121, 1.235, 1.342, 1.444]
# vd[0.1] = [1, 1.154, 1.302, 1.446, 1.584]
h_over_b = (h0 - fd.depth)/fd.width
c1_over_c2 =sl_0.cohesion/c_2_eff
c_1_over_c_2 = [0.1, 0.2, 0.25, 0.333, 0.5, 0.667, 1.]
m_1 = [1.584, 1.444, 1.389, 1.311, 1.193, 1.109, 1.]
m_125 = [1.446, 1.342, 1.302, 1.241, 1.152, 1.088, 1.]
m_167 = [1.302, 1.235, 1.208, 1.167, 1.107, 1.064, 1.]
m_25 = [1.154, 1.121, 1.107, 1.088, 1.056, 1.033, 1.]
m_5 = [1, 1, 1, 1, 1, 1, 1]
if h_over_b == 0.1:
m = np.interp(c1_over_c2, c_1_over_c_2, m_1)
elif h_over_b == 0.125:
m = np.interp(c1_over_c2, c_1_over_c_2, m_125)
elif h_over_b == 0.167:
m = np.interp(c1_over_c2, c_1_over_c_2, m_167)
elif h_over_b == 0.250:
m = np.interp(c1_over_c2, c_1_over_c_2, m_25)
elif h_over_b >= 0.5:
m = np.interp(c1_over_c2, c_1_over_c_2, m_5)
elif 0.1 < h_over_b < 0.125:
m_a = np.interp(c1_over_c2, c_1_over_c_2, m_1)
m_b = np.interp(c1_over_c2, c_1_over_c_2, m_125)
m = np.interp(h_over_b, [0.1,0.125], [m_a,m_b])
elif 0.125 < h_over_b < 0.167:
m_a = np.interp(c1_over_c2, c_1_over_c_2, m_125)
m_b = np.interp(c1_over_c2, c_1_over_c_2, m_167)
m = np.interp(h_over_b, [0.125, 0.167], [m_a, m_b])
elif 0.167 < h_over_b < 0.25:
m_a = np.interp(c1_over_c2, c_1_over_c_2, m_167)
m_b = np.interp(c1_over_c2, c_1_over_c_2, m_25)
m = np.interp(h_over_b, [0.167, 0.250], [m_a, m_b])
elif 0.25 < h_over_b < 0.5:
m_a = np.interp(c1_over_c2, c_1_over_c_2, m_25)
m_b = np.interp(c1_over_c2, c_1_over_c_2, m_5)
m = np.interp(h_over_b, [0.250, 0.500], [m_a, m_b])
fd.q_ult = (sl_0.cohesion * m * sl_0.nc_factor_0) + (unit_eff_weight_0_at_fd_depth * fd.depth)
else:
fd.q_ult = q_ult
return fd.q_ult |
List the roles for an account for the passed Canvas account ID. | def get_roles_in_account(self, account_id, params={}):
"""
List the roles for an account, for the passed Canvas account ID.
https://canvas.instructure.com/doc/api/roles.html#method.role_overrides.api_index
"""
url = ACCOUNTS_API.format(account_id) + "/roles"
roles = []
for datum in self._get_resource(url, params=params):
roles.append(CanvasRole(data=datum))
return roles |
List the roles for an account for the passed account SIS ID. | def get_roles_by_account_sis_id(self, account_sis_id, params={}):
"""
List the roles for an account, for the passed account SIS ID.
"""
return self.get_roles_in_account(self._sis_id(account_sis_id,
sis_field="account"),
params) |
List all course roles available to an account for the passed Canvas account ID including course roles inherited from parent accounts. | def get_effective_course_roles_in_account(self, account_id):
"""
List all course roles available to an account, for the passed Canvas
account ID, including course roles inherited from parent accounts.
"""
course_roles = []
params = {"show_inherited": "1"}
for role in self.get_roles_in_account(account_id, params):
if role.base_role_type != "AccountMembership":
course_roles.append(role)
return course_roles |
Get information about a single role for the passed Canvas account ID. | def get_role(self, account_id, role_id):
"""
Get information about a single role, for the passed Canvas account ID.
https://canvas.instructure.com/doc/api/roles.html#method.role_overrides.show
"""
url = ACCOUNTS_API.format(account_id) + "/roles/{}".format(role_id)
return CanvasRole(data=self._get_resource(url)) |
Get information about a single role for the passed account SIS ID. | def get_role_by_account_sis_id(self, account_sis_id, role_id):
"""
Get information about a single role, for the passed account SIS ID.
"""
return self.get_role(self._sis_id(account_sis_id, sis_field="account"),
role_id) |
Return course resource for given canvas course id. | def get_course(self, course_id, params={}):
"""
Return course resource for given canvas course id.
https://canvas.instructure.com/doc/api/courses.html#method.courses.show
"""
include = params.get("include", [])
if "term" not in include:
include.append("term")
params["include"] = include
url = COURSES_API.format(course_id)
return CanvasCourse(data=self._get_resource(url, params=params)) |
Return course resource for given sis id. | def get_course_by_sis_id(self, sis_course_id, params={}):
"""
Return course resource for given sis id.
"""
return self.get_course(self._sis_id(sis_course_id, sis_field="course"),
params) |
Returns a list of courses for the passed account ID. | def get_courses_in_account(self, account_id, params={}):
"""
Returns a list of courses for the passed account ID.
https://canvas.instructure.com/doc/api/accounts.html#method.accounts.courses_api
"""
if "published" in params:
params["published"] = "true" if params["published"] else ""
url = ACCOUNTS_API.format(account_id) + "/courses"
courses = []
for data in self._get_paged_resource(url, params=params):
courses.append(CanvasCourse(data=data))
return courses |
Return a list of courses for the passed account SIS ID. | def get_courses_in_account_by_sis_id(self, sis_account_id, params={}):
"""
Return a list of courses for the passed account SIS ID.
"""
return self.get_courses_in_account(
self._sis_id(sis_account_id, sis_field="account"), params) |
Return a list of published courses for the passed account ID. | def get_published_courses_in_account(self, account_id, params={}):
"""
Return a list of published courses for the passed account ID.
"""
params["published"] = True
return self.get_courses_in_account(account_id, params) |
Return a list of published courses for the passed account SIS ID. | def get_published_courses_in_account_by_sis_id(self, sis_account_id,
params={}):
"""
Return a list of published courses for the passed account SIS ID.
"""
return self.get_published_courses_in_account(
self._sis_id(sis_account_id, sis_field="account"), params) |
Return a list of courses for the passed regid. | def get_courses_for_regid(self, regid, params={}):
"""
Return a list of courses for the passed regid.
https://canvas.instructure.com/doc/api/courses.html#method.courses.index
"""
self._as_user = regid
data = self._get_resource("/api/v1/courses", params=params)
self._as_user = None
courses = []
for datum in data:
if "sis_course_id" in datum:
courses.append(CanvasCourse(data=datum))
else:
courses.append(self.get_course(datum["id"], params))
return courses |
Create a canvas course with the given subaccount id and course name. | def create_course(self, account_id, course_name):
"""
Create a canvas course with the given subaccount id and course name.
https://canvas.instructure.com/doc/api/courses.html#method.courses.create
"""
url = ACCOUNTS_API.format(account_id) + "/courses"
body = {"course": {"name": course_name}}
return CanvasCourse(data=self._post_resource(url, body)) |
Updates the SIS ID for the course identified by the passed course ID. | def update_sis_id(self, course_id, sis_course_id):
"""
Updates the SIS ID for the course identified by the passed course ID.
https://canvas.instructure.com/doc/api/courses.html#method.courses.update
"""
url = COURSES_API.format(course_id)
body = {"course": {"sis_course_id": sis_course_id}}
return CanvasCourse(data=self._put_resource(url, body)) |
Returns participation data for the given account_id and term_id. | def get_activity_by_account(self, account_id, term_id):
"""
Returns participation data for the given account_id and term_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.department_participation
"""
url = ("/api/v1/accounts/sis_account_id:%s/analytics/"
"terms/sis_term_id:%s/activity.json") % (account_id, term_id)
return self._get_resource(url) |
Returns grade data for the given account_id and term_id. | def get_grades_by_account(self, account_id, term_id):
"""
Returns grade data for the given account_id and term_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.department_grades
"""
url = ("/api/v1/accounts/sis_account_id:%s/analytics/"
"terms/sis_term_id:%s/grades.json") % (account_id, term_id)
return self._get_resource(url) |
Returns statistics for the given account_id and term_id. | def get_statistics_by_account(self, account_id, term_id):
"""
Returns statistics for the given account_id and term_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.department_statistics
"""
url = ("/api/v1/accounts/sis_account_id:%s/analytics/"
"terms/sis_term_id:%s/statistics.json") % (account_id, term_id)
return self._get_resource(url) |
Returns participation data for the given sis_course_id. | def get_activity_by_sis_course_id(self, sis_course_id):
"""
Returns participation data for the given sis_course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.course_participation
"""
url = "/api/v1/courses/%s/analytics/activity.json" % (
self._sis_id(sis_course_id, sis_field="course"))
return self._get_resource(url) |
Returns assignment data for the given course_id. | def get_assignments_by_sis_course_id(self, sis_course_id):
"""
Returns assignment data for the given course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.course_assignments
"""
url = "/api/v1/courses/%s/analytics/assignments.json" % (
self._sis_id(sis_course_id, sis_field="course"))
return self._get_resource(url) |
Returns per - student data for the given course_id. | def get_student_summaries_by_sis_course_id(self, sis_course_id):
"""
Returns per-student data for the given course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.course_student_summaries
"""
url = "/api/v1/courses/%s/analytics/student_summaries.json" % (
self._sis_id(sis_course_id, sis_field="course"))
return self._get_resource(url) |
Returns student activity data for the given user_id and course_id. | def get_student_activity_for_sis_course_id_and_sis_user_id(
self, sis_user_id, sis_course_id):
"""
Returns student activity data for the given user_id and course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.student_in_course_participation
"""
url = ("/api/v1/courses/%s/analytics/users/"
"sis_user_id:%s/activity.json") % (
self._sis_id(sis_course_id, sis_field="course"), sis_user_id)
return self._get_resource(url) |
Returns student assignment data for the given user_id and course_id. | def get_student_assignments_for_sis_course_id_and_sis_user_id(
self, sis_user_id, sis_course_id):
"""
Returns student assignment data for the given user_id and course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.student_in_course_assignments
"""
url = ("/api/v1/courses/%s/analytics/"
"users/sis_user_id:%s/assignments.json") % (
self._sis_id(sis_course_id, sis_field="course"), sis_user_id)
return self._get_resource(url) |
Returns student assignment data for the given user_id and course_id. | def get_student_assignments_for_sis_course_id_and_canvas_user_id(
self, sis_course_id, user_id):
"""
Returns student assignment data for the given user_id and course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.student_in_course_assignments
"""
url = "/api/v1/courses/%s/analytics/users/%s/assignments.json" % (
self._sis_id(sis_course_id, sis_field="course"), user_id)
return self._get_resource(url) |
Returns student messaging data for the given user_id and course_id. | def get_student_messaging_for_sis_course_id_and_sis_user_id(
self, sis_user_id, sis_course_id):
"""
Returns student messaging data for the given user_id and course_id.
https://canvas.instructure.com/doc/api/analytics.html#method.analytics_api.student_in_course_messaging
"""
url = ("/api/v1/courses/%s/analytics/"
"users/sis_user_id:%s/communication.json") % (
self._sis_id(sis_course_id, sis_field="course"), sis_user_id)
return self._get_resource(url) |
https:// canvas. instructure. com/ doc/ api/ submissions. html#method. submissions_api. index | def get_submissions_by_course_and_assignment(
self, course_id, assignment_id, params={}):
"""
https://canvas.instructure.com/doc/api/submissions.html#method.submissions_api.index
"""
url = COURSES_API.format(course_id)
url += "/assignments/{}/submissions".format(assignment_id)
submissions = []
for data in self._get_paged_resource(url, params=params):
submissions.append(Submission(data=data))
return submissions |
List submissions for multiple assignments by course/ section sis id and optionally student | def get_submissions_multiple_assignments_by_sis_id(
self, is_section, sis_id, students=None, assignments=None,
**params):
"""
List submissions for multiple assignments by course/section sis id and
optionally student
https://canvas.instructure.com/doc/api/submissions.html#method.submissions_api.for_students
"""
if is_section:
return self.get_submissions_multiple_assignments(
is_section, self._sis_id(sis_id, 'section'), students,
assignments, **params)
else:
return self.get_submissions_multiple_assignments(
is_section, self._sis_id(sis_id, 'course'), students,
assignments, **params) |
List submissions for multiple assignments by course/ section id and optionally student | def get_submissions_multiple_assignments(
self, is_section, course_id, students=None, assignments=None,
**params):
"""
List submissions for multiple assignments by course/section id and
optionally student
https://canvas.instructure.com/doc/api/submissions.html#method.submissions_api.for_students
"""
api = SECTIONS_API if is_section else COURSES_API
if students is not None:
params['student_ids'] = students
if assignments is not None:
params['assignment_ids'] = assignments
url = api.format(course_id) + "/students/submissions"
data = self._get_paged_resource(url, params=params)
submissions = []
for submission in data:
submissions.append(Submission(data=submission))
return submissions |
Rotation stiffness of foundation.: param fd: Foundation object: param sl: Soil Object.: param axis: The axis which it should be computed around: return: | def rotational_stiffness(sl, fd, axis="length", a0=0.0, **kwargs):
"""
Rotation stiffness of foundation.
:param fd: Foundation object
:param sl: Soil Object.
:param axis: The axis which it should be computed around
:return:
"""
if not kwargs.get("disable_requires", False):
gf.models.check_required(sl, ["g_mod", "poissons_ratio"])
gf.models.check_required(fd, ["length", "width", "depth"])
if fd.depth > 0.0:
pass
l = fd.length * 0.5
b = fd.width * 0.5
v = sl.poissons_ratio
if axis == "length":
i_bx = fd.i_ll
k_rx = 1 - 0.2 * a0
k_f_0 = (sl.g_mod / (1 - v) * i_bx ** 0.75 * (l / b) ** 0.25 * (2.4 + 0.5 * (b / l))) * k_rx
else:
i_by = fd.i_ww
k_ry = 1 - 0.3 * a0
k_f_0 = (sl.g_mod / (1 - v) * i_by ** 0.75 * (3 * (l / b) ** 0.15)) * k_ry
return k_f_0 |
Return external tools for the passed canvas account id. | def get_external_tools_in_account(self, account_id, params={}):
"""
Return external tools for the passed canvas account id.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.index
"""
url = ACCOUNTS_API.format(account_id) + "/external_tools"
external_tools = []
for data in self._get_paged_resource(url, params=params):
external_tools.append(data)
return external_tools |
Return external tools for the passed canvas course id. | def get_external_tools_in_course(self, course_id, params={}):
"""
Return external tools for the passed canvas course id.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.index
"""
url = COURSES_API.format(course_id) + "/external_tools"
external_tools = []
for data in self._get_paged_resource(url, params=params):
external_tools.append(data)
return external_tools |
Create an external tool using the passed json_data. | def _create_external_tool(self, context, context_id, json_data):
"""
Create an external tool using the passed json_data.
context is either COURSES_API or ACCOUNTS_API.
context_id is the Canvas course_id or account_id, depending on context.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.create
"""
url = context.format(context_id) + "/external_tools"
return self._post_resource(url, body=json_data) |
Update the external tool identified by external_tool_id with the passed json data. | def _update_external_tool(self, context, context_id, external_tool_id,
json_data):
"""
Update the external tool identified by external_tool_id with the passed
json data.
context is either COURSES_API or ACCOUNTS_API.
context_id is the course_id or account_id, depending on context
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.update
"""
url = context.format(context_id) + "/external_tools/{}".format(
external_tool_id)
return self._put_resource(url, body=json_data) |
Delete the external tool identified by external_tool_id. | def _delete_external_tool(self, context, context_id, external_tool_id):
"""
Delete the external tool identified by external_tool_id.
context is either COURSES_API or ACCOUNTS_API.
context_id is the course_id or account_id, depending on context
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.destroy
"""
url = context.format(context_id) + "/external_tools/{}".format(
external_tool_id)
response = self._delete_resource(url)
return True |
Get a sessionless launch url for an external tool. | def _get_sessionless_launch_url(self, context, context_id, tool_id):
"""
Get a sessionless launch url for an external tool.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.generate_sessionless_launch
"""
url = context.format(context_id) + "/external_tools/sessionless_launch"
params = {"id": tool_id}
return self._get_resource(url, params) |
Get a sessionless launch url for an external tool. | def get_sessionless_launch_url_from_account_sis_id(
self, tool_id, account_sis_id):
"""
Get a sessionless launch url for an external tool.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.generate_sessionless_launch
"""
return self.get_sessionless_launch_url_from_account(
tool_id, self._sis_id(account_sis_id, "account")) |
Get a sessionless launch url for an external tool. | def get_sessionless_launch_url_from_course_sis_id(
self, tool_id, course_sis_id):
"""
Get a sessionless launch url for an external tool.
https://canvas.instructure.com/doc/api/external_tools.html#method.external_tools.generate_sessionless_launch
"""
return self.get_sessionless_launch_url_from_course(
tool_id, self._sis_id(course_sis_id, "course")) |
Can define a Foundation Object from dimensions.: param length: Foundation length: param width: Foundation width: param depth: Foundation depth: param height: Foundation height: return: A Foundation object | def create_foundation(length, width, depth=0.0, height=0.0):
"""
Can define a Foundation Object from dimensions.
:param length: Foundation length
:param width: Foundation width
:param depth: Foundation depth
:param height: Foundation height
:return: A Foundation object
"""
a_foundation = FoundationRaft()
a_foundation.length = length
a_foundation.width = width
a_foundation.depth = depth
a_foundation.height = height
return a_foundation |
Can define a Soil object.: param phi: Internal friction angle: param cohesion: Cohesion of soil: param unit_dry_weight: The dry unit weight of the soil.: param pw: specific weight of water: return: A Soil object. | def create_soil(phi=0.0, cohesion=0.0, unit_dry_weight=0.0, pw=9800):
"""
Can define a Soil object.
:param phi: Internal friction angle
:param cohesion: Cohesion of soil
:param unit_dry_weight: The dry unit weight of the soil.
:param pw: specific weight of water
:return: A Soil object.
"""
soil = Soil(pw=pw)
soil.phi = phi
soil.cohesion = cohesion
soil.unit_dry_weight = unit_dry_weight
return soil |
Check if a parameter is available on an object | def check_required(obj, required_parameters):
"""
Check if a parameter is available on an object
:param obj: Object
:param required_parameters: list of parameters
:return:
"""
for parameter in required_parameters:
if not hasattr(obj, parameter) or getattr(obj, parameter) is None:
raise DesignError("parameter '%s' must be set for '%s' object." % (parameter, obj.base_type)) |
Returns user profile data. | def get_user(self, user_id):
"""
Returns user profile data.
https://canvas.instructure.com/doc/api/users.html#method.profile.settings
"""
url = USERS_API.format(user_id) + "/profile"
return CanvasUser(data=self._get_resource(url)) |
Returns a list of users for the given course id. | def get_users_for_course(self, course_id, params={}):
"""
Returns a list of users for the given course id.
"""
url = COURSES_API.format(course_id) + "/users"
data = self._get_paged_resource(url, params=params)
users = []
for datum in data:
users.append(CanvasUser(data=datum))
return users |
Returns a list of users for the given sis course id. | def get_users_for_sis_course_id(self, sis_course_id, params={}):
"""
Returns a list of users for the given sis course id.
"""
return self.get_users_for_course(
self._sis_id(sis_course_id, sis_field="course"), params) |
Create and return a new user and pseudonym for an account. | def create_user(self, user, account_id=None):
"""
Create and return a new user and pseudonym for an account.
https://canvas.instructure.com/doc/api/users.html#method.users.create
"""
if account_id is None:
account_id = self._canvas_account_id
if account_id is None:
raise MissingAccountID()
url = ACCOUNTS_API.format(account_id) + "/users"
data = self._post_resource(url, user.post_data())
return CanvasUser(data=data) |
Return a user s logins for the given user_id. | def get_user_logins(self, user_id, params={}):
"""
Return a user's logins for the given user_id.
https://canvas.instructure.com/doc/api/logins.html#method.pseudonyms.index
"""
url = USERS_API.format(user_id) + "/logins"
data = self._get_paged_resource(url, params=params)
logins = []
for login_data in data:
logins.append(Login(data=login_data))
return logins |
Update an existing login for a user in the given account. | def update_user_login(self, login, account_id=None):
"""
Update an existing login for a user in the given account.
https://canvas.instructure.com/doc/api/logins.html#method.pseudonyms.update
"""
if account_id is None:
account_id = self._canvas_account_id
if account_id is None:
raise MissingAccountID
login_id = login.login_id
url = ACCOUNTS_API.format(account_id) + "/logins/{}".format(login_id)
data = self._put_resource(url, login.put_data())
return Login(data=data) |
return url path to next page of paginated data | def _next_page(self, response):
"""
return url path to next page of paginated data
"""
for link in response.getheader("link", "").split(","):
try:
(url, rel) = link.split(";")
if "next" in rel:
return url.lstrip("<").rstrip(">")
except Exception:
return |
Canvas GET method on a full url. Return representation of the requested resource chasing pagination links to coalesce resources if indicated. | def _get_resource_url(self, url, auto_page, data_key):
"""
Canvas GET method on a full url. Return representation of the
requested resource, chasing pagination links to coalesce resources
if indicated.
"""
headers = {'Accept': 'application/json',
'Connection': 'keep-alive'}
response = DAO.getURL(url, headers)
if response.status != 200:
raise DataFailureException(url, response.status, response.data)
data = json.loads(response.data)
self.next_page_url = self._next_page(response)
if auto_page and self.next_page_url:
if isinstance(data, list):
data.extend(self._get_resource_url(self.next_page_url, True,
data_key))
elif isinstance(data, dict) and data_key is not None:
data[data_key].extend(self._get_resource_url(
self.next_page_url, True, data_key)[data_key])
return data |
Canvas GET method. Return representation of the requested paged resource either the requested page or chase pagination links to coalesce resources. | def _get_paged_resource(self, url, params=None, data_key=None):
"""
Canvas GET method. Return representation of the requested paged
resource, either the requested page, or chase pagination links to
coalesce resources.
"""
if not params:
params = {}
self._set_as_user(params)
auto_page = not ('page' in params or 'per_page' in params)
if 'per_page' not in params and self._per_page != DEFAULT_PAGINATION:
params["per_page"] = self._per_page
full_url = url + self._params(params)
return self._get_resource_url(full_url, auto_page, data_key) |
Canvas GET method. Return representation of the requested resource. | def _get_resource(self, url, params=None, data_key=None):
"""
Canvas GET method. Return representation of the requested resource.
"""
if not params:
params = {}
self._set_as_user(params)
full_url = url + self._params(params)
return self._get_resource_url(full_url, True, data_key) |
Canvas PUT method. | def _put_resource(self, url, body):
"""
Canvas PUT method.
"""
params = {}
self._set_as_user(params)
headers = {'Content-Type': 'application/json',
'Accept': 'application/json',
'Connection': 'keep-alive'}
url = url + self._params(params)
response = DAO.putURL(url, headers, json.dumps(body))
if not (response.status == 200 or response.status == 201 or
response.status == 204):
raise DataFailureException(url, response.status, response.data)
return json.loads(response.data) |
Canvas POST method. | def _post_resource(self, url, body):
"""
Canvas POST method.
"""
params = {}
self._set_as_user(params)
headers = {'Content-Type': 'application/json',
'Accept': 'application/json',
'Connection': 'keep-alive'}
url = url + self._params(params)
response = DAO.postURL(url, headers, json.dumps(body))
if not (response.status == 200 or response.status == 204):
raise DataFailureException(url, response.status, response.data)
return json.loads(response.data) |
Canvas DELETE method. | def _delete_resource(self, url):
"""
Canvas DELETE method.
"""
params = {}
self._set_as_user(params)
headers = {'Accept': 'application/json',
'Connection': 'keep-alive'}
url = url + self._params(params)
response = DAO.deleteURL(url, headers)
if not (response.status == 200 or response.status == 204):
raise DataFailureException(url, response.status, response.data)
return response |
Return a list of the admins in the account. | def get_admins(self, account_id, params={}):
"""
Return a list of the admins in the account.
https://canvas.instructure.com/doc/api/admins.html#method.admins.index
"""
url = ADMINS_API.format(account_id)
admins = []
for data in self._get_paged_resource(url, params=params):
admins.append(CanvasAdmin(data=data))
return admins |
Flag an existing user as an admin within the account. | def create_admin(self, account_id, user_id, role):
"""
Flag an existing user as an admin within the account.
https://canvas.instructure.com/doc/api/admins.html#method.admins.create
"""
url = ADMINS_API.format(account_id)
body = {"user_id": unquote(str(user_id)),
"role": role,
"send_confirmation": False}
return CanvasAdmin(data=self._post_resource(url, body)) |
Flag an existing user as an admin within the account sis id. | def create_admin_by_sis_id(self, sis_account_id, user_id, role):
"""
Flag an existing user as an admin within the account sis id.
"""
return self.create_admin(self._sis_id(sis_account_id), user_id, role) |
Remove an account admin role from a user. | def delete_admin(self, account_id, user_id, role):
"""
Remove an account admin role from a user.
https://canvas.instructure.com/doc/api/admins.html#method.admins.destroy
"""
url = ADMINS_API.format(account_id) + "/{}?role={}".format(
user_id, quote(role))
response = self._delete_resource(url)
return True |
Remove an account admin role from a user for the account sis id. | def delete_admin_by_sis_id(self, sis_account_id, user_id, role):
"""
Remove an account admin role from a user for the account sis id.
"""
return self.delete_admin(self._sis_id(sis_account_id), user_id, role) |
List the grading standards available to a course https:// canvas. instructure. com/ doc/ api/ grading_standards. html#method. grading_standards_api. context_index | def get_grading_standards_for_course(self, course_id):
"""
List the grading standards available to a course
https://canvas.instructure.com/doc/api/grading_standards.html#method.grading_standards_api.context_index
"""
url = COURSES_API.format(course_id) + "/grading_standards"
standards = []
for data in self._get_resource(url):
standards.append(GradingStandard(data=data))
return standards |
Create a new grading standard for the passed course. | def create_grading_standard_for_course(self, course_id, name,
grading_scheme, creator):
"""
Create a new grading standard for the passed course.
https://canvas.instructure.com/doc/api/grading_standards.html#method.grading_standards_api.create
"""
url = COURSES_API.format(course_id) + "/grading_standards"
body = {
"title": name,
"grading_scheme_entry": grading_scheme,
"as_user_id": creator
}
return GradingStandard(data=self._post_resource(url, body)) |
Return section resource for given canvas section id. | def get_section(self, section_id, params={}):
"""
Return section resource for given canvas section id.
https://canvas.instructure.com/doc/api/sections.html#method.sections.show
"""
url = SECTIONS_API.format(section_id)
return CanvasSection(data=self._get_resource(url, params=params)) |
Return section resource for given sis id. | def get_section_by_sis_id(self, sis_section_id, params={}):
"""
Return section resource for given sis id.
"""
return self.get_section(
self._sis_id(sis_section_id, sis_field="section"), params) |
Return list of sections for the passed course ID. | def get_sections_in_course(self, course_id, params={}):
"""
Return list of sections for the passed course ID.
https://canvas.instructure.com/doc/api/sections.html#method.sections.index
"""
url = COURSES_API.format(course_id) + "/sections"
sections = []
for data in self._get_paged_resource(url, params=params):
sections.append(CanvasSection(data=data))
return sections |
Return list of sections for the passed course SIS ID. | def get_sections_in_course_by_sis_id(self, sis_course_id, params={}):
"""
Return list of sections for the passed course SIS ID.
"""
return self.get_sections_in_course(
self._sis_id(sis_course_id, sis_field="course"), params) |
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